Cybersecurity Gets Smart.
The article reports on the initiatives of researchers to apply artificial intelligence and machine learning methods to improve cybersecurity. It discusses security breaches and cyber protection schemes and highlights the security software introduced by Deep Instinct that uses artificial neural netwo...
| Publicado en: | Communications of the ACM Vol. 59; no. 5; pp. 29 - 32 |
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| Formato: | Artículo |
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Association for Computing Machinery
May2016
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| Acceso en línea: | Ver este registro en EBSCOhost |
| fields | @attributes: recordID: 1 pdfLink: plink: https://search.ebscohost.com/login.aspx?direct=true&db=hlh&AN=115178352&site=ehost-live header: @attributes: shortDbName: hlh uiTerm: 115178352 longDbName: Humanities International Complete uiTag: AN controlInfo: bkinfo: jinfo: jid: 00010782 ACM jtl: Communications of the ACM issn: 00010782 maglogo: N pubinfo: dt: May2016 vid: 59 iid: 5 pid: 68 pub: Association for Computing Machinery artinfo: ui: 115178352 10.1145/2898969 ppf: 29 ppct: 3 formats: tig: atl: Cybersecurity Gets Smart. aug: au: Greengard, Samuel su: Machine learning Internet security Computer security software Artificial neural networks Artificial intelligence sug: subj: Machine learning Internet security Computer security software Artificial neural networks Artificial intelligence ab: The article reports on the initiatives of researchers to apply artificial intelligence and machine learning methods to improve cybersecurity. It discusses security breaches and cyber protection schemes and highlights the security software introduced by Deep Instinct that uses artificial neural network to digest data and put it into use. Other AI projects cited include the use of algorithm that analyzes relationships with peer files, and use of touch signature to authenticate a mobile device. pubtype: Periodical doctype: Article src: R language: English refInfo: copyright: @attributes: flag: Y dt: @attributes: year: 2016 holdings: @attributes: islocal: N |
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